Natural Language Processing

文章の書き手が持つ感情と読み手が受ける感情の差に関する初期調査および考察

NLP 若手の会 (YANS) 第 16 回シンポジウム,2021.

Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training

IEEE Access (**Impact Factor: 3.367** in 2020; [1st place in Engineering & Computer Science (general) at Google Scholar Metrics](https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_enggeneral))

Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification

We propose a new general training technique for attention mechanisms based on virtual adversarial training (VAT). VAT can compute adversarial perturbations from unlabeled data in a semi-supervised setting for the attention mechanisms that have been …

キャプション生成時低品質データ事前検知の試み

言語処理学会第 27 回年次大会,2021.

半教師あり文書分類のための仮想敵対的学習による注意機構の頑健性および解釈性の向上

言語処理学会第 27 回年次大会,2021.

Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation

Proc. of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop

AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss

Proc. of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

解釈可能な敵対的摂動を用いた頑健な注意機構の学習

言語処理学会第 26 回年次大会,2020.

文字単位の解釈可能な潜在表現の data augmentation

言語処理学会第 26 回年次大会,2020.

Image-based Character Embedding for Arabic Document Classification

言語処理学会第 26 回年次大会,2020.